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Assessment of the GPC control quality using non-Gaussian statistical measures
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Title: Assessment of the GPC control quality using non-Gaussian statistical measures

Creator:

Domański, Paweł ; Ławryńczuk, Maciej

Date:

2017

Resource Type:

artykuł

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Group publication title:

AMCS, Volume 27 (2017)

Abstract:

This paper presents an alternative approach to the task of control performance assessment. Various statistical measures based on Gaussian and non-Gaussian distribution functions are evaluated. The analysis starts with the review of control error histograms followed by their statistical analysis using probability distribution functions. Simulation results obtained for a control system with the generalized predictive controller algorithm are considered. The proposed approach using Cauchy and Lévy [alfa]-stable distributions shows robustness against disturbances and enables effective control loop quality evaluation. Tests of the predictive algorithm prove its ability to detect the impact of the main controller parameters, such as the model gain, the dynamics or the prediction horizon.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:85662

DOI:

10.1515/amcs-2017-0021

Pages:

291-307

Source:

AMCS, volume 27, number 2 (2017) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

control performance assessment GPC control non-Gaussian PDF Cauchy PDF Lévy [alfa]-stable PDF

Object collections:

Last modified:

Jul 14, 2025

In our library since:

Jul 3, 2025

Number of object content hits:

15

All available object's versions:

https://zbc.uz.zgora.pl/repozytorium/publication/100613

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Assessment of the GPC control quality using non-Gaussian statistical measures Jul 14, 2025

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